Instructions to use mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC with MLC-LLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download params_shard_129.bin from mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC: direct link, hf CLI and curl.
- Browser
- Download file 235 MB
-
https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_129.bin
- Command line
-
hf download hf://mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/params_shard_129.bin
-
curl -L -o params_shard_129.bin https://huggingface.co/mlc-ai/CodeLlama-70b-Python-hf-q4f16_1-MLC/resolve/main/params_shard_129.bin
235 MB
- Xet hash:
- d7092e77ceec54a0cd800741fdaa6459e3fe07503836a112fd72a753676be2b8
- Size of remote file:
- 235 MB
- SHA256:
- b78dbf6c7191a5854e890b3c6980c50ddeb549726565d78879993ed5f6536d40
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